RecSys Challenge 2016: Job Recommendations
作者： Fabian Abel , András Benczúr , Daniel Kohlsdorf , Martha Larson , Róbert Pálovics
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摘要: The 2016 ACM Recommender Systems Challenge focused on the problem of job recommendations. Given a large dataset from XING that consisted anonymized user profiles, postings, and interactions between them, participating teams had to predict postings will interact with. challenge ran for four months with 366 registered teams. 119 those actively participated submitted together 4,232 solutions yielding in an impressive neck-and-neck race was decided within last days challenge.
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sci-hub.se 参考文章(3)
David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle, RecSys Challenge 2015 and the YOOCHOOSE Dataset conference on recommender systems. pp. 357- 358 ,(2015) , 10.1145/2792838.2798723
Fabian Abel, We Know Where You Should Work Next Summer: Job Recommendations conference on recommender systems. pp. 230- 230 ,(2015) , 10.1145/2792838.2799496
Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk, Recommender systems challenge 2014 conference on recommender systems. pp. 387- 388 ,(2014) , 10.1145/2645710.2645779